1.

Record Nr.

UNINA9910555280203321

Titolo

Epigenetic drug discovery / / edited by Wolfgang Sippl and Manfred Jung

Pubbl/distr/stampa

Weinheim, Germany : , : Wiley-VCH, , [2019]

©2019

ISBN

3-527-80928-7

3-527-80925-2

3-527-80926-0

Descrizione fisica

1 online resource (506 pages)

Collana

Methods and Principles in Medicinal Chemistry ; ; Volume 74

Disciplina

615.7

Soggetti

Pharmacogenomics

Epigenesis, Genetic

Drug Discovery - methods

Pharmacogenetics - methods

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



2.

Record Nr.

UNINA9911058016903321

Autore

Torra Vicenç

Titolo

AI for Social Sciences : With an Introduction to Security, Privacy, Ethics and Society Impacts / / by Vicenç Torra

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026

ISBN

3-032-07216-6

Edizione

[1st ed. 2026.]

Descrizione fisica

1 online resource (XV, 176 p. 63 illus., 15 illus. in color.)

Disciplina

006.3

Soggetti

Artificial intelligence

Expert systems (Computer science)

Natural language processing (Computer science)

Social sciences - Data processing

Data protection - Law and legislation

Multiagent systems

Artificial Intelligence

Knowledge Based Systems

Natural Language Processing (NLP)

Computer Application in Social and Behavioral Sciences

Privacy

Multiagent Systems

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

1. Introduction -- 2. Artificial intelligence and intelligent systems -- 3. Decision-support systems -- 4. Machine learning at work. Data-science -- 5. Security and privacy -- 6. Applications in social sciences -- 7. Ethics and AI.

Sommario/riassunto

The use of AI in social sciences is on the rise and gaining significant momentum. The book aims to demystify AI and its applications in social sciences by offering a straightforward description of its key concepts and tools, all in an easy-to-understand language. The book delves into the fundamental elements of AI systems, shedding light on their capabilities as well as their inherent constraints. Moreover, the author explores AI tools that find applications in the realm of social



sciences, including decision support systems rooted in machine learning, as well as knowledge-based. In addition, the book addresses the pertinent issues that, while not purely AI-related, are crucial in AI applications within the social sciences, most notably security and privacy considerations. The content should be accessible to an audience ranging from undergraduate students to researchers and practitioners in the fields of AI and social sciences, assuming they possess a basic understanding of mathematics and a keen interest in the subject. This book is a bridge between the worlds of AI and social sciences, aiming to provide a fundamental understanding for those eager to explore the intersection of these two domains.